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Over the past 10 years, research has suggested no negative effect on second language exposure in children with autism spectrum disorder (ASD), yet, parents and professionals may be concerned that using a second language with a child with ASD may negatively impact their communication and cognitive skills, especially if the child also has an intellectual disability. In this study, 396 children and adolesents (5-16 years) with and without ASD and with and without second language exposure participated in the study. Parents reported on language exposure and rated executive function (EF) and functional communication (FC) skills using a standardized questionnaire. IQ was directly measured using the WASI-II and children were classified as having an intellectual disability if they had a full-scale score of less than 70. The sample included 18 children with ASD and an intellectual disability (10 without second language exposure, 8 with second language exposure). Results showed that children with ASD and second language exposure had significantly better EF skills and were significantly less likely to have executive dysfunction in the clinical range than children with ASD with no second language exposure. Second language exposure also did not have a negative impact on EF skills in children with ASD even when an intellectual disability was present. For FC skills, we failed to find significant difference between children with ASD with and without second language exposure. For children with ASD and intellectual disability, there was no significant difference on FC skills between children with and without second language exposure. As our sample of children with ASD and intellectual disability was small, additional research with a larger sample is urgently needed.
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http://dx.doi.org/10.1002/aur.70070 | DOI Listing |
Cereb Cortex
August 2025
Faculty of Psychology and Education Science, Department of Psychology, University of Geneva, Chemin des Mines 9, Geneva, 1202, Switzerland.
Language learning and use relies on domain-specific, domain-general cognitive and sensory-motor functions. Using fMRI during story listening and behavioral tests, we investigated brain-behavior associations between linguistic and non-linguistic measures in individuals with varied multilingual experience and reading skills, including typical reading participants (TRs) and dyslexic readers (DRs). Partial Least Square Correlation revealed a main component linking cognitive, linguistic, and phonological measures to amodal/associative brain areas.
View Article and Find Full Text PDFDisabil Rehabil Assist Technol
September 2025
International Communication College, Jilin International Studies University, Changchun, Jilin, China.
Background: Conventional automated writing evaluation systems typically provide insufficient support for students with special needs, especially in tonal language acquisition such as Chinese, primarily because of rigid feedback mechanisms and limited customisation.
Objective: This research develops context-aware Hierarchical AI Tutor for Writing Enhancement(CHATWELL), an intelligent tutoring platform that incorporates optimised large language models to deliver instantaneous, customised, and multi-dimensional writing assistance for Chinese language learners, with special consideration for those with cognitive learning barriers.
Methods: CHATWELL employs a hierarchical AI framework with a four-tier feedback mechanism designed to accommodate diverse learning needs.
Health Inf Sci Syst
December 2025
Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, 730000 China.
Leveraging natural language processing to identify anxiety states from social media has been widely studied. However, existing research lacks deep user-level semantic modeling and effective anxiety feature extraction. Additionally, the absence of clinical domain knowledge in current models limits their interpretability and medical relevance.
View Article and Find Full Text PDFZhonghua Yan Ke Za Zhi
September 2025
Department of traditional Chinese medicine, Second Affiliated Hospital of Jiaxing University, Jiaxing 314000, China.
To assess the current research status of retinal vein occlusion (RVO) and to explore its research trends and hotspots based on bibliometrics. A bibliometric study was conducted on April 25, 2024, retrieving articles from China National Knowledge Infrastructure (CNKI), Wanfang, and Web of Science Core Collection covering 2014 to 2023. CiteSpace, VOSviewer, and Microsoft Excel were used for visualization and analysis of annual publications, country distribution, author productivity, journals, cited references, and keywords.
View Article and Find Full Text PDFJ Vis Exp
August 2025
School of Cyberspace Security, Zhengzhou University.
In the context of the rapid development of large language models (LLMs), contrastive learning has become widely adopted due to its ability to bypass costly data annotation by leveraging vast amounts of network data for model training. However, this widespread use raises significant concerns regarding data privacy protection. Unlearnable Examples (UEs), a technique that disrupts model learning by perturbing data, effectively prevents unauthorized models from misusing sensitive data.
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